CN112615880B - Negative feedback scheduling method and scheduling system for executive - Google Patents
Negative feedback scheduling method and scheduling system for executive Download PDFInfo
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- CN112615880B CN112615880B CN202011571398.6A CN202011571398A CN112615880B CN 112615880 B CN112615880 B CN 112615880B CN 202011571398 A CN202011571398 A CN 202011571398A CN 112615880 B CN112615880 B CN 112615880B
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Abstract
The application provides a negative feedback scheduling method and a scheduling system of an executive, wherein the method is applied to the scheduling system, the scheduling system comprises an executive control center, an executive controller and an executive feedback module, and the method comprises the following steps: the execution body controller receives a scheduling instruction sent by an execution body control center; the execution controller schedules a target execution body corresponding to the identification of the execution body from the execution body pool according to the scheduling instruction; the executive body feedback module monitors the running state of each scheduled target executive body to obtain the arbitration information of each target executive body; the executive body feedback module utilizes the arbitration information to generate negative feedback information; the judgment result is used for representing whether abnormal data exists in the judgment information or not; the executive body feedback module sends the negative feedback information to an executive body control center; and the executive body control center generates a new scheduling instruction based on the negative feedback information and a preset scheduling strategy and sends the new scheduling instruction to the executive body controller.
Description
Technical Field
The present application relates to the field of scheduling technologies for execution entities, and in particular, to a negative feedback scheduling method and a scheduling system for an execution entity.
Background
The popularization and application of the network technology bring convenience to people and also have a plurality of hidden dangers. With the popularization of network technology application, network security events in the global range are rare, some security events have great influence on even some national and regional security problems, and major network security events occur frequently.
In order to improve the security of the network, some researchers provide a mimicry defense technology. The executive scheduling and executing mechanism is one of core technologies for realizing the mimicry defense, and schedules an executive based on a scheduling strategy, such as a polling scheduling strategy, a random scheduling strategy and the like, so that the system structure is dynamically changed, an uncertain scene is given to an attacker, the attacker cannot predict the change, and the security defense is realized.
However, the current scheduling mechanism is implemented based on a fixed scheduling policy, so the intrusion prevention effect is general. Since, for example, polling scheduling is to protect against attacks of attackers through their periodic variations, an attacker can discover their regularity through long-term detection, thereby anticipating their polling variations and achieving intrusion, whereas for random scheduling, protecting against attacks of attackers through random selection is inherently limited in improving security performance and is not convenient to manage. Therefore, the existing scheduling mechanism cannot well play a role in defending against intrusion.
Disclosure of Invention
Based on the defects of the prior art, the application provides a negative feedback scheduling method and a negative feedback scheduling system of an executive, so as to solve the problem that the existing scheduling mechanism cannot well play a role in defending against intrusion.
In order to achieve the above object, the present application provides the following technical solutions:
the first aspect of the present application provides a negative feedback scheduling method for an execution body, which is applied to a scheduling system, where the scheduling system includes an execution body control center, an execution body controller, and an execution body feedback module, and the scheduling method for the execution body includes:
the executive body controller receives a scheduling instruction sent by the executive body control center; wherein the scheduling instruction comprises at least an identification of a plurality of heterogeneous executables and a runtime of each of the executables; the plurality of heterogeneous executors have the same execution function;
the execution body controller dispatches a target execution body corresponding to the identification of the execution body from an execution body pool according to a dispatching instruction;
the executive body feedback module monitors the running state of each scheduled target executive body to obtain the arbitration information of each target executive body; wherein the arbitration information comprises a plurality of items of operating data;
the executive body feedback module generates negative feedback information by utilizing the arbitration information; the negative feedback information at least comprises a judgment result and abnormal index parameters obtained by counting the judgment information of all the target executors; the judgment result is used for representing whether abnormal data exists in the judgment information or not;
the executive body feedback module sends the negative feedback information to the executive body control center;
and the executive body control center generates a new scheduling instruction based on the negative feedback information and a preset scheduling strategy, and sends the new scheduling instruction to the executive body controller.
Optionally, in the foregoing method, the abnormal index parameter includes abnormal statistical data and a data abnormal rate, where the performing body feedback module generates negative feedback information by using the arbitration information, and includes:
counting the judgment information to obtain a plurality of abnormal statistical data; the multiple-anomaly statistical data at least comprise the anomaly quantity of each item of the running data, the identification of a target executive body with a fault and the fault frequency;
respectively calculating the data exception rate of each item of the operation data by using the exception quantity of each item of the operation data;
and generating a judgment result according to the multiple items of abnormal statistical data, and combining the multiple items of abnormal statistical data, the data abnormal rate of each item of operating data and the judgment result into negative feedback information.
Optionally, in the foregoing method, the generating, by the executor control center, a new scheduling instruction based on the negative feedback information and a preset scheduling policy includes:
if the judgment result represents that abnormal data exists in the judgment information, updating the reliability coefficient of each target executive body according to the multiple items of abnormal statistical data;
selecting a plurality of heterogeneous executives from the executor pool as executives to be scheduled and generating a new scheduling instruction based on the preset scheduling strategy and the reliability coefficient of each executor in the executor pool; and the new scheduling instruction at least comprises the identification and the running time of each execution body to be scheduled.
Optionally, in the foregoing method, the selecting, based on the preset scheduling policy and the reliability system number of each executable in the executable pool, a plurality of executables to be scheduled from the executable pool, and generating a new scheduling instruction includes:
sequencing each executive body in the executive bodies according to the reliability coefficient of the executive bodies from high to low to obtain a sequencing result;
selecting the executive bodies with the first N bits in the sequencing result as executive bodies to be scheduled; wherein N is a numerical value corresponding to the number of the failed target executors in the scheduling strategy;
and generating a new scheduling instruction corresponding to the executive to be scheduled.
Optionally, in the foregoing method, the selecting, based on the preset scheduling policy and the reliability system number of each executable in the executable pool, a plurality of executables to be scheduled from the executable pool, and generating a new scheduling instruction includes:
determining the scheduling number corresponding to the number of the failed target executors;
selecting heterogeneous executors with the scheduling quantity from each execution body set respectively to serve as executors to be scheduled; the executive body set is divided based on the reliability coefficient of each executive body;
determining the running time of each execution body to be scheduled based on the preset scheduling strategy;
and generating a new scheduling instruction by using the identification of each executive to be scheduled and the running time of each scheduling executive.
A second aspect of the present application provides a scheduling system, including:
the executive body controller is used for receiving the scheduling instruction sent by the executive body control center and scheduling a target executive body corresponding to the identification of the executive body in the scheduling instruction from an executive body pool according to the scheduling instruction; wherein the scheduling instruction comprises at least an identification of a plurality of heterogeneous executables and a runtime of each of the executables; the plurality of heterogeneous executors have the same execution function;
the executive body feedback module is used for monitoring the running state of each scheduled target executive body, obtaining the arbitration information of each target executive body and generating negative feedback information by utilizing the arbitration information; wherein the arbitration information comprises a plurality of items of operating data; the negative feedback information at least comprises a judgment result and abnormal index parameters obtained by counting the judgment information of all the target executors; the judgment result is used for representing whether abnormal data exists in the judgment information or not;
and the executive body control center is used for receiving the negative feedback information sent by the executive body feedback module, generating a new scheduling instruction based on the negative feedback information and a preset scheduling strategy, and sending the new scheduling instruction to the executive body controller.
Optionally, in the scheduling system, the abnormal index parameter includes abnormal statistical data and a data abnormal rate, where the executor feedback module, when executing the generating of the negative feedback information by using the arbitration information, is configured to:
counting the judgment information to obtain a plurality of abnormal statistical data; the multiple abnormal statistical data at least comprise the abnormal quantity of each item of the running data, the identification of a target executive body with a fault and the fault frequency;
respectively calculating the data exception rate of each item of the operation data by using the exception quantity of each item of the operation data;
and generating a judgment result according to the multiple items of abnormal statistical data, and combining the multiple items of abnormal statistical data, the data abnormal rate of each item of operating data and the judgment result into negative feedback information.
Optionally, in the scheduling system, when the executor control center executes the new scheduling instruction generated based on the negative feedback information and a preset scheduling policy, the executor control center is configured to:
if the judgment result represents that abnormal data exists in the judgment information, updating the reliability coefficient of each target executive body according to the multiple items of abnormal statistical data;
selecting a plurality of heterogeneous executives from the executor pool as executives to be scheduled and generating a new scheduling instruction based on the preset scheduling strategy and the reliability coefficient of each executor in the executor pool; and the new scheduling instruction at least comprises the identification and the running time of each execution body to be scheduled.
Optionally, in the scheduling system, when the executor control center executes the scheduling policy based on the preset scheduling policy and the reliability system number of each executor in the executor pool, selects a plurality of executors to be scheduled from the executor pool, and generates a new scheduling instruction, the scheduling instruction is configured to:
sequencing each executive body in the executive bodies from high to low according to the reliability coefficient of the executive bodies to obtain a sequencing result;
selecting the executive bodies with the first N bits in the sequencing result as executive bodies to be scheduled; wherein N is a numerical value corresponding to the number of the failed target executors in the scheduling strategy;
and generating a new scheduling instruction corresponding to the executive to be scheduled.
Optionally, in the scheduling system, when the executor control center executes the scheduling instruction based on the preset scheduling policy and the reliability system number of each executor in the executor pool, selects a plurality of executors to be scheduled from the executor pool, and generates a new scheduling instruction, the scheduling instruction is configured to:
determining the scheduling number corresponding to the number of the target executors with faults;
selecting heterogeneous executors with the scheduling quantity from each execution body set respectively to serve as executors to be scheduled; the executive body set is divided based on the reliability coefficient of each executive body;
determining the running time of each scheduling executive body based on the preset scheduling strategy;
and generating a new scheduling instruction by using the identification of each to-be-scheduled execution body and the running time of each scheduling execution body.
The execution body control center receives a scheduling instruction sent by the execution body control center, the execution body controller schedules a target execution body corresponding to an identifier of the execution body in the scheduling instruction from an execution body pool according to the scheduling instruction, then the execution body feedback module monitors the running state of each scheduled target execution body to obtain arbitration information of each target execution body, and generates negative feedback information by using the arbitration information, and finally the execution body feedback module sends the negative feedback information to the execution body control center, so that the execution body control center generates a new scheduling instruction based on the negative feedback information and a preset scheduling strategy, and sends the new scheduling instruction to the execution body controller, thereby realizing continuous scheduling mode adjustment through the negative feedback information based on a negative feedback mechanism, increasing the difficulty of attacker detection, and effectively ensuring the safety of a network.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic diagram of a scheduling system according to an embodiment of the present disclosure;
FIG. 2 is a flowchart illustrating a negative feedback scheduling method for an executor according to another embodiment of the present disclosure;
FIG. 3 is a flowchart of another method for negative feedback scheduling for an executable according to another embodiment of the present application;
FIG. 4 is a flowchart of a method for generating a dispatching instruction according to another embodiment of the present application;
fig. 5 is a schematic structural diagram of another scheduling system according to another embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In this application, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The negative feedback scheduling method of the executive body provided by the embodiment of the application is applied to a scheduling system. As shown in fig. 1, the scheduling system includes an execution body control center 101, an execution body controller 102, and an execution body feedback module 103.
The executive control center 101 is mainly configured to generate a scheduling instruction according to the negative feedback information fed back by the executive feedback module 103, and send the scheduling instruction to the executive controller 102.
The execution controller 102 schedules a plurality of executables from the pool of executables according to the scheduling instruction. Specifically, the execution controller 102 supports generation of an execution body through multiple virtualization technologies such as VMware, KVM, docker, and the like, and schedules the generated execution body according to the scheduling instruction. The scheduling objects are heterogeneous executives in the mimicry control layer, a plurality of executives in an executor pool are selected for executing tasks in the scheduling process, and the executives are mutually independent and equal. Moreover, since the larger the number of executives, the larger the number of heterogeneous components between the executives, and the larger the probability that an attacker triggers inconsistency between the executives, the number of executives of the word schedule is generally equal to or greater than 3 in order to improve security.
The executive body feedback module 103 is mainly configured to monitor feedback information of each executive body during operation, generate negative feedback information according to the monitored feedback information, and feed back the negative feedback information to the executive body control center 101, so as to form a scheduling system of a negative feedback mechanism for an abnormal situation. It should be noted that the execution body feedback module 103 supports feedback information collection across multiple platforms such as X86, ARM, and shenwei, and can be deployed in the execution body across platforms to realize information collection across platforms.
Based on the scheduling system, the negative feedback scheduling method for an executor provided in the embodiment of the present application, as shown in fig. 2, specifically includes the following steps:
s201, the execution body controller receives a scheduling instruction sent by the execution body control center.
The scheduling instruction at least comprises identification of a plurality of heterogeneous executors and the running time of each executor. The heterogeneous executors have the same execution function, that is, the heterogeneous executors refer to executors having different structures but providing the same service, for example, two executors of a Windows system and a Linux system, which both provide the same Web site access service externally, are two executors with equivalent functions, that is, two heterogeneous executors.
The scheduling command transmitted from the actuator control center is generated by the actuator control center based on the negative feedback information.
And S202, the execution controller schedules a target execution body corresponding to the identification of the execution body from the execution body pool according to the scheduling instruction.
S203, the executive body feedback module monitors the running state of each scheduled target executive body to obtain the arbitration information of each target executive body.
The arbitration information includes multiple items of operation data, such as output results of each target executable, log data in the operation process, and the like.
And S204, the executive body feedback module utilizes the judgment information to generate negative feedback information, and the negative feedback information at least comprises a judgment result and an abnormal index parameter.
The abnormal index parameters are obtained by counting the judgment information of all target executors, and the judgment result is used for representing whether the target executors output abnormal data.
In the embodiment of the present application, the exception data mainly refers to data of a certain target executable that is different from data of most target executors in the same type of data. For example, there are 10 target execution entities, where the output results of 9 target execution entities are all the same, and if there is a difference in the output result of one target execution entity, the output result of the target execution entity is abnormal data.
Therefore, the abnormal index parameter mainly refers to a parameter obtained by performing statistical calculation on abnormal data in the arbitration information of all target executives. For example, in the above example, the output result is obtained with a normality rate of 90% and an abnormality rate of 10%.
Optionally, if the arbitration information of all target executives is consistent, the generated decision result may be correct, and if the arbitration information between one or more executives is inconsistent, the generated decision result is abnormal.
And S205, the executive body feedback module sends the negative feedback information to the executive body control center.
And S206, the executive body control center generates a new scheduling instruction based on the negative feedback information and a preset scheduling strategy, and sends the new scheduling instruction to the executive body controller.
It should be noted that after step S206 is executed, the process may return to step S201.
Specifically, the preset scheduling policy is set in advance as required by the user, and corresponding changes are made to the scheduling rules under the condition of different negative feedback information, for example, when the abnormal rate is high, the scheduling period is shortened, the number of executed schedules is increased, and the like, and then the generative scheduling instructions are generated according to the transformed scheduling rules. Therefore, the scheduling rule is dynamically adjusted by utilizing a negative feedback mechanism along with the continuous change of negative feedback information, so that the difficulty of detecting the scheduling system by an attacker is increased, and the robustness and the intrusion prevention capability of the system are improved.
The embodiment of the application provides a negative feedback scheduling method of an executive, which is applied to a scheduling system comprising an executive control center, an executive controller and an executive feedback module, wherein the executive controller receives a scheduling instruction sent by the executive control center, the executive controller schedules a target executive corresponding to an identifier of the executive in the scheduling instruction from an executive pool according to the scheduling instruction, then the executive feedback module monitors the running state of each scheduled target executive to obtain arbitration information of each target executive, the arbitration information is used for generating negative feedback information, and finally the executive feedback module sends the negative feedback information to the executive control center, so that the executive control center generates a new scheduling instruction based on the negative feedback information and a preset scheduling strategy and sends the new scheduling instruction to the executive controller, thereby realizing continuous adjustment of a scheduling mode through the negative feedback information based on a negative feedback mechanism, increasing the detection difficulty of an attacker and effectively ensuring the security of a network.
Another embodiment of the present application provides another negative feedback scheduling method for an executor, which is also applied to the scheduling system described above. As shown in fig. 3, the negative feedback scheduling method for an executor provided in the embodiment of the present application specifically includes the following steps:
s301, the execution body controller receives a scheduling instruction sent by the execution body control center.
The scheduling instruction at least comprises identification of a plurality of heterogeneous executors and the running time of each executor. Multiple heterogeneous executives have the same execution function.
It should be noted that, the specific implementation process of step S301 may refer to step S201 in the foregoing method embodiment accordingly, and details are not described here again.
And S302, scheduling the target execution body corresponding to the identification of the execution body from the execution body pool by the execution body controller according to the scheduling instruction.
It should be noted that, the specific implementation process of step S302 may refer to step S202 in the foregoing method embodiment accordingly, and is not described herein again.
S303, the executive body feedback module monitors the running state of each scheduled target executive body to obtain the arbitration information of each target executive body, wherein the arbitration information comprises a plurality of running data.
It should be noted that, the specific implementation process of step S303 may refer to step S203 in the foregoing method embodiment accordingly, and details are not described here again.
And S304, the execution body feedback module counts the judgment information to obtain a plurality of abnormal statistical data.
In the embodiment of the present application, the abnormal index parameters include abnormal statistical data and a data abnormal rate. The plurality of abnormal statistical data at least comprise the abnormal quantity of each operation data, the identification of the target executive body with the fault and the fault frequency. Of course, other data may be included in addition to these, such as the type of failure, time of failure, number of calls, etc.
S305, the execution body feedback module calculates the data exception rate of each operation data by respectively using the exception number of each operation data.
S306, the executive body feedback module generates judgment results according to the multiple items of abnormal statistical data and combines the multiple items of abnormal statistical data, the data abnormal rate of each item of operation data and the judgment results into negative feedback information.
If the multiple items of abnormal statistical data indicate that the output results of any one target executive body are inconsistent, if the identification of the target executive body with a fault exists, the abnormal number of any one item of running data is not zero, and the like, the output results of any one target executive body are inconsistent, a judgment result representing that abnormal data exist in the judgment information is generated, and if the output results of all the target executive bodies of the multiple items of abnormal statistical data are consistent, a judgment result representing that abnormal data do not exist is generated.
And S307, the executive body feedback module sends the negative feedback information to the executive body control center.
S308, the executive body control center judges whether the judgment result represents that abnormal data exists in the judgment information.
If the judgment result represents that there is abnormal data in the judgment information, step S309 is executed.
S309, the executive body control center updates the reliability coefficient of each target executive body according to the abnormal statistical data.
Optionally, the exception rate of each target executor from the real time to the present time of the historical time period to the present time is calculated according to whether each target executor has exception data in the current scheduling and the number of times of the exception data appearing in the historical time period. Then, the calculated abnormal rate can be used as the reliability coefficient of the target executable, or the reliability coefficient of the executable further calculated by using the calculated abnormal rate is used, and finally the reliability coefficient of each target executable is updated by using a new one.
S310, the executive control center selects a plurality of heterogeneous executors from the executive pool as executors to be scheduled and new scheduling instructions based on a preset scheduling strategy and the reliability coefficient of each executive in the executive pool.
The new scheduling instruction at least comprises the identification and the running time of each execution body to be scheduled.
Specifically, in order to ensure normal implementation of the function, the number of the selected to-be-scheduled executors may be determined according to the number of the target executors with faults counted in the abnormal statistical data or according to the data abnormal rate of each operating data. And then, selecting corresponding number of executors to be scheduled based on a preset scheduling strategy and the reliability coefficient of each executor.
Optionally, the preset scheduling policy may be an exception-driven scheduling policy, that is, when there is an exception, the driver enters the next scheduling of the execution entity, that is, the driver generates a new scheduling instruction. Under the strategy, an executive body with a high reliability coefficient is preferably selected as the executive body to be scheduled. Specifically, each execution body in the execution bodies is sequenced from high to low according to the reliability coefficient of the execution body to obtain a sequencing result, then the execution body with the first N bits in the sequencing result is selected as the execution body to be scheduled, and a new scheduling instruction corresponding to the execution body to be scheduled is generated. And N is a numerical value corresponding to the number of the target executables with faults in the scheduling strategy.
Of course, the preset scheduling policy may also be a periodic scheduling policy, that is, after a period of time elapses, the next scheduling period is entered. However, the scheduling period may be adjusted according to the abnormality rate, and the scheduling period may be reduced if the abnormality rate is increased.
Optionally, another embodiment of the present application performs scheduling based on a periodic scheduling policy, and as shown in fig. 4, a specific implementation manner of step S310 in the embodiment of the present application includes the following steps:
s401, determining the scheduling number corresponding to the number of the target executors with faults.
And determining the number of the target executors which have faults, wherein the larger the number of the target executors which have faults is, the higher the determined scheduling number is.
S402, selecting heterogeneous scheduling quantity executors from each execution body set respectively to serve as executors to be scheduled, and dividing the execution body sets based on the reliability coefficient of each execution body.
In the embodiment of the application, the executors to be scheduled are selected by matching the executors with the reliability coefficients of different levels in a balanced manner. For example, according to the reliability coefficient of the execution body, the execution body is divided into three execution body sets of high, middle and low, and the determined scheduling number is 2, then two heterogeneous execution bodies are selected from the three execution body sets of high, middle and low respectively as the execution body to be scheduled.
And S403, determining the running time of each executive to be scheduled based on a preset scheduling strategy.
It should be noted that the determined running times of the scheduling executors are generally consistent, so that the running time of each execution body to be scheduled does not need to be determined separately.
S404, generating a new scheduling instruction by using the identification of each executable to be scheduled and the running time of each scheduling executable.
And S311, the executive body control center sends the new scheduling instruction to the executive body controller.
Also, after step S311 is performed, the process returns to step S301.
Another embodiment of the present application provides another scheduling system, as shown in fig. 5, including:
and the execution body controller 501 is configured to receive a scheduling instruction sent by the execution body control center, and schedule a target execution body corresponding to the identifier of the execution body in the scheduling instruction from the execution body pool according to the scheduling instruction.
The scheduling instruction at least comprises the identification of a plurality of heterogeneous executors and the running time of each executor; multiple heterogeneous executives have the same execution function.
The executive feedback module 502 is configured to monitor the running state of each scheduled target executive, obtain the arbitration information of each target executive, and generate negative feedback information by using the arbitration information.
Wherein the arbitration information comprises a plurality of items of operation data; the negative feedback information at least comprises a judgment result and abnormal index parameters obtained by counting the judgment information of all target executors. And the judgment result is used for representing whether abnormal data exists in the judgment information or not.
And the executive control center 503 is configured to receive the negative feedback information sent by the executive feedback module, generate a new scheduling instruction based on the negative feedback information and a preset scheduling policy, and send the new scheduling instruction to the executive controller.
Optionally, when the executive body feedback module in the scheduling system according to another embodiment of the present application executes generating the negative feedback information by using the arbitration information, the executive body feedback module is configured to:
and counting the judgment information to obtain a plurality of abnormal statistical data.
The multiple abnormal statistical data at least comprises the abnormal quantity of each item of operation data, the identification of the target executive body with the fault and the fault frequency.
And respectively calculating the data exception rate of each item of operation data by using the exception number of each item of operation data.
And generating a judgment result according to the multiple abnormal statistical data, and combining the multiple abnormal statistical data, the data abnormality rate of each operating data and the judgment result into negative feedback information.
When the executive control center in the scheduling system of another embodiment of the present application executes a new scheduling instruction generated based on negative feedback information and a preset scheduling policy, the executive control center is configured to:
and if the judgment result represents that abnormal data exists in the judgment information, updating the reliability coefficient of each target executive body according to the multiple items of abnormal statistical data.
And selecting a plurality of heterogeneous executors from the execution body pool as executors to be scheduled and generating a new scheduling instruction based on a preset scheduling strategy and the reliability coefficient of each execution body in the execution body pool.
The new scheduling instruction at least comprises the identification and the running time of each execution body to be scheduled.
Optionally, when the executor control center in the scheduling system according to another embodiment of the present application executes a system number based on a preset scheduling policy and the reliability of each executor in the executor pool, selects a plurality of executors to be scheduled from the executor pool, and generates a new scheduling instruction, the system is configured to:
and sequencing each executive body in the executive bodies from high to low according to the reliability coefficient of the executive bodies to obtain a sequencing result.
And selecting the executive bodies with the first N bits in the sequencing result as the executive bodies to be scheduled.
And N is a numerical value corresponding to the number of the target executors with faults in the scheduling strategy.
And generating a new scheduling instruction corresponding to the executive to be scheduled.
Optionally, when the executor control center in the scheduling system according to another embodiment of the present application executes a system number based on a preset scheduling policy and a reliability of each executor in the executor pool, selects a plurality of executors to be scheduled from the executor pool, and generates a new scheduling instruction, the execution system control center is configured to:
determining the scheduling number corresponding to the number of the target executors with faults;
and selecting execution bodies with heterogeneous scheduling quantity from each execution body set respectively to serve as execution bodies to be scheduled.
And dividing the executive body set based on the reliability coefficient of each executive body.
And determining the running time of each scheduling executive body based on a preset scheduling strategy.
And generating a new scheduling instruction by using the identification of each to-be-scheduled execution body and the running time of each scheduling execution body.
It should be noted that, for more specific working processes of the execution body controller, the execution body feedback module, and the execution body control center in the scheduling system provided in the foregoing embodiment of the present application, reference may be made to implementation processes of corresponding steps in the foregoing method embodiment, which is not described herein again.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A negative feedback scheduling method of an executive body is applied to a scheduling system, wherein the scheduling system comprises an executive body control center, an executive body controller and an executive body feedback module, and the scheduling method of the executive body comprises the following steps:
the executive body controller receives a scheduling instruction sent by the executive body control center; wherein the scheduling instruction at least comprises identification of a plurality of heterogeneous executors and a runtime of each of the executors; the plurality of heterogeneous executors have the same execution function;
the execution controller schedules a target execution body corresponding to the identification of the execution body from an execution body pool according to a scheduling instruction;
the executive body feedback module monitors the running state of each scheduled target executive body to obtain the arbitration information of each target executive body; wherein the arbitration information comprises a plurality of items of operating data;
the executive body feedback module utilizes the arbitration information to generate negative feedback information; the negative feedback information at least comprises a judgment result and abnormal index parameters obtained by counting the judgment information of all the target executors; the judgment result is used for representing whether abnormal data exists in the judgment information or not;
the executive body feedback module sends the negative feedback information to the executive body control center;
and the executive body control center generates a new scheduling instruction based on the negative feedback information and a preset scheduling strategy, and sends the new scheduling instruction to the executive body controller.
2. The method of claim 1, wherein the anomaly index parameters comprise anomaly statistics and data anomaly rates, and wherein the executive feedback module generates negative feedback information using the sanction information, comprising:
counting the judgment information to obtain a plurality of abnormal statistical data; the multiple items of abnormal statistical data at least comprise the abnormal quantity of each item of the running data, the identification of a target executive body with a fault and the fault frequency;
respectively calculating the data exception rate of each item of the operation data by using the exception quantity of each item of the operation data;
and generating a judgment result according to the multiple items of abnormal statistical data, and combining the multiple items of abnormal statistical data, the data abnormal rate of each item of operating data and the judgment result into negative feedback information.
3. The method of claim 2, wherein the executive control center generates a new scheduling instruction based on the negative feedback information and a preset scheduling policy, comprising:
if the judgment result represents that abnormal data exists in the judgment information, updating the reliability coefficient of each target executive body according to the multiple items of abnormal statistical data;
selecting a plurality of heterogeneous executives from the executor pool as executives to be scheduled and generating a new scheduling instruction based on the preset scheduling strategy and the reliability coefficient of each executor in the executor pool; and the new scheduling instruction at least comprises the identification and the running time of each execution body to be scheduled.
4. The method according to claim 3, wherein the selecting a plurality of executables to be scheduled from the executable pool and generating a new scheduling instruction based on the preset scheduling policy and the reliability system number of each executable in the executable pool comprises:
sequencing each executive body in the executive bodies from high to low according to the reliability coefficient of the executive bodies to obtain a sequencing result;
selecting the executive bodies with the first N bits in the sequencing result as executive bodies to be scheduled; wherein N is a numerical value corresponding to the number of the failed target executors in the scheduling strategy;
and generating a new scheduling instruction corresponding to the executive to be scheduled.
5. The method according to claim 3, wherein the selecting a plurality of executables to be scheduled from the executable pool and generating a new scheduling instruction based on the preset scheduling policy and the reliability system number of each executable in the executable pool comprises:
determining the scheduling number corresponding to the number of the target executors with faults;
selecting heterogeneous executors with the scheduling quantity from each execution body set respectively to serve as executors to be scheduled; the executive body set is divided based on the reliability coefficient of each executive body;
determining the running time of each execution body to be scheduled based on the preset scheduling strategy;
and generating a new scheduling instruction by using the identification of each executive to be scheduled and the running time of each scheduling executive.
6. A scheduling system, comprising:
the executive body controller is used for receiving the scheduling instruction sent by the executive body control center and scheduling a target executive body corresponding to the identifier of the executive body in the scheduling instruction from an executive body pool according to the scheduling instruction; wherein the scheduling instruction at least comprises identification of a plurality of heterogeneous executors and a runtime of each of the executors; the plurality of heterogeneous executors have the same execution function;
the executive body feedback module is used for monitoring the running state of each scheduled target executive body, obtaining the arbitration information of each target executive body and generating negative feedback information by using the arbitration information; wherein the arbitration information comprises a plurality of items of operating data; the negative feedback information at least comprises a judgment result and abnormal index parameters obtained by counting the judgment information of all the target executors; the judgment result is used for representing whether abnormal data exists in the judgment information or not;
and the executive body control center is used for receiving the negative feedback information sent by the executive body feedback module, generating a new scheduling instruction based on the negative feedback information and a preset scheduling strategy, and sending the new scheduling instruction to the executive body controller.
7. The scheduling system of claim 6 wherein the anomaly indicator parameters comprise anomaly statistics and data anomaly rate, wherein the executive feedback module, when executing the generating negative feedback information using the arbitration information, is configured to:
counting the judgment information to obtain a plurality of abnormal statistical data; the multiple items of abnormal statistical data at least comprise the abnormal quantity of each item of the running data, the identification of a target executive body with a fault and the fault frequency;
respectively calculating the data exception rate of each item of the operation data by using the exception quantity of each item of the operation data;
and generating a judgment result according to the multiple items of abnormal statistical data, and combining the multiple items of abnormal statistical data, the data abnormal rate of each item of operating data and the judgment result into negative feedback information.
8. The dispatching system of claim 7, wherein when the executive control center executes the new dispatching command generated based on the negative feedback information and the preset dispatching strategy, the executive control center is configured to:
if the judgment result represents that abnormal data exists in the judgment information, updating the reliability coefficient of each target executive body according to the multiple items of abnormal statistical data;
selecting a plurality of heterogeneous executives from the executor pool as executives to be scheduled and generating a new scheduling instruction based on the preset scheduling strategy and the reliability coefficient of each executor in the executor pool; and the new scheduling instruction at least comprises the identification and the running time of each execution body to be scheduled.
9. The scheduling system of claim 8, wherein the executor control center is configured to, when executing the scheduling command based on the preset scheduling policy and the reliability system number of each executor in the executor pool, select a plurality of executors to be scheduled from the executor pool, and generate a new scheduling command:
sequencing each executive body in the executive bodies from high to low according to the reliability coefficient of the executive bodies to obtain a sequencing result;
selecting the executive bodies with the first N bits in the sequencing result as executive bodies to be scheduled; wherein N is a numerical value corresponding to the number of the failed target executors in the scheduling strategy;
and generating a new scheduling instruction corresponding to the executive body to be scheduled.
10. The scheduling system of claim 8, wherein the executor control center is configured to, when executing the scheduling command based on the preset scheduling policy and the reliability system number of each executor in the executor pool, select a plurality of executors to be scheduled from the executor pool, and generate a new scheduling command:
determining the scheduling number corresponding to the number of the target executors with faults;
selecting heterogeneous executors with the scheduling quantity from each execution body set respectively to serve as executors to be scheduled; the executive body set is divided based on the reliability coefficient of each executive body;
determining the running time of each scheduling executive body based on the preset scheduling strategy;
and generating a new scheduling instruction by using the identification of each executive to be scheduled and the running time of each scheduling executive.
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